Package 4 · Services

AI architectures and automation

For organisations that must run AI in their own network – without cloud and without outside access.

Run AI in your own network and automate processes – compliant with your rules.

How you know you need this

AI is required, but your data must not leave the building – because of VS-NfD, supervisory requirements or your own rules.

Business units already use public AI services because there is no alternative. You want to control that without banning the use.

Recurring operational work consumes time, and every manual intervention is a potential source of error.

What you get

  • Clarifying the legal framework and requirements before hardware is bought.
  • Decision paper for hardware and platform: what carries which model size, what operations cost.
  • Build and integration in your own network, including connection to existing identities and logging.
  • Assessment of the tools to be used in-house – with a view to data egress and licensing.
  • Automation of recurring processes as code (Terraform, Ansible, pipelines) so environments are reproducible.
  • Operations handover: processes, monitoring, incidents, model updates.

How long it takes

Build usually six to twelve weeks, then operations run. Automation is added step by step.

What you contribute

A test environment with the intended hardware, a contact for network and identities, a statement on which data is permitted.

What is not included

Procurement of hardware and licences. Recommendation and decision paper are included, purchasing stays with you – that keeps interests separate.

Common questions

Which models are meant?

Open models that can run in your own network. Size follows task and hardware – for many cases a small model is sufficient.

What does operations cost?

Essentially the hardware you would procure anyway. Ongoing licence costs for external services disappear because processing stays in-house.

Can we extend this later?

Yes. The architecture is chosen so that a larger model or further tasks can be added without rebuilding everything.

Initial call

In the first call we clarify whether the package fits your situation. Then you get two proposed dates and a clear statement on effort.

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